Cardiovascular diseases after high-dose chemotherapy and autologous stem cell transplant for lymphoma: A Danish population-based study.

Cardiovascular diseases, especially congestive heart failure (CHF), are known complications of anthracyclines, but the risk for patients undergoing high-dose chemotherapy and autologous stem cell transplant (HDT-ASCT) is not well established. With T-cell therapies emerging as alternatives, studies of long-term complications after HDT-ASCT are warranted. Danish patients treated with HDT-ASCT for aggressive lymphoma between 2001 and 2017 were matched 1:5 on sex, birth year and Charlson comorbidity score to the general population. Events were captured using nationwide registers. A total of 787 patients treated with HDT-ASCT were identified. Median follow-up was 7.6 years. The risk of CHF was significantly increased in the HDT-ASCT population compared to matched comparators with an adjusted hazard ratio (HR) of 5.5 (3.8-8.1). The 10-year cumulative incidence of CHF was 8.0% versus 2.0% (p < 0.001). Male sex, ≥2 lines of therapy, hypertension and cumulative anthracycline dose (≥300 mg/m2 ) were risk factors for CHF. In a separate cohort of 4089 lymphoma patients, HDT-ASCT was also significantly associated with increased risk of CHF (adjusted HR of 2.6 [1.8-3.8]) when analysed as a time-dependent exposure. HDT-ASCT also increased the risk of other cardiac diseases. These findings are applicable for the benefit/risk assessment of HDT-ASCT versus novel therapies.

Impact of the COVID-19 pandemic on lymphoma incidence and short-term survival - a Swedish Lymphoma Register Study.

BACKGROUND & PURPOSE: The COVID-19 pandemic posed a large challenge for healthcare systems across the world. Comprehensive data on the impact of the COVID-19 pandemic on incidence and mortality in lymphoma are lacking. PATIENTS/METHODS: Using data from the Swedish lymphoma register, we compare incidence and 1-year survival of lymphoma patients in Sweden before (2017-2019) and during the pandemic (2020 and 2021). RESULTS: Fewer patients were diagnosed with lymphomas during March-June 2020, but the annual incidence rates for 2020 and 2021 were similar to those of 2017-2019. A larger proportion of patients presented with stage IV disease during 2021. There were no differences in other base-line characteristics nor application of active treatment in pre-pandemic and pandemic years. One-year overall survival was not inferior among lymphoma patients during the pandemic years compared to pre-pandemic years i.e., 2017-2019. INTERPRETATION: The COVID-19 pandemic had limited impact on the incidence and mortality of lymphoma in Sweden.

The National Swedish Lymphoma Register - a systematic validation of data quality.

BACKGROUND AND PURPOSE: The Swedish Lymphoma Register (SLR) was initiated in the year 2000 with the aim to monitor quality of care in diagnostics, treatment and outcome of all lymphomas diagnosed nationally among adults. Here, we present the first systematic validation of SLR records as a basis for improved register quality and patient care. PATIENTS AND METHODS: We evaluated timeliness and completeness of register records among patients diagnosed with lymphoma in the SLR (n = 16,905) compared with the National Cancer Register for the period 2013-2020. Comparability was assessed through evaluation of coding routines against national and international guidelines. Accuracy of 42 variables was evaluated through re-abstraction of data from medical records among 600 randomly selected patients diagnosed in 2016-2017 and treated across all six Swedish healthcare regions.  Results: Completeness was high, >95% per year for the period 2013-2018, and >89% for 2019-2020 compared to the National Cancer Register. One in four patients was registered within 3 months, and 89.9% within 2 years of diagnosis. Registration instructions and coding procedures followed the prespecified guidelines. Missingness was generally low (<5%), but high for occasional variables, for example, those describing maintenance and consolidative treatment. Exact agreement of categorical variables was high overall (>80% for 24/34 variables), especially for treatment-related data (>80% for 17/19 variables). INTERPRETATION: Completeness and accuracy are high in the SLR, while timeliness could be improved. Finetuning of variable registration guided by this validation can further improve reliability of register reports and advance service to lymphoma patients and health care in the future.

Sex differences in lymphoma incidence and mortality by subtype: A population-based study.

It is well established that the male sex is associated with increased risk for, as well as poorer survival of, most cancers. A similar pattern has been described in lymphomas but has not yet been comprehensively assessed. In this nationwide population-based cohort study, we used the Swedish Lymphoma Register to investigate sex differences in lymphoma subtype incidence and excess mortality in adults (age 18-99) diagnosed in 2000-2019. Male-to-female incidence rate ratios (IRRs) and excess mortality ratios (EMRs) adjusted for age and calendar year were predicted using Poisson regression. We identified 36 795 lymphoma cases, 20 738 (56.4%) in men and 16 057 (43.6%) in women. Men were at significantly higher risk of 14 out of 16 lymphoma subtypes with IRRs ranging from 1.15 (95% confidence interval [CI] 1.09-1.22) in follicular lymphoma to 5.95 (95% CI 4.89-7.24) in hairy cell leukemia. EMRs >1 were seen in 13 out of 16 lymphoma subtypes indicating higher mortality in men, although only statistically significant for classical Hodgkin lymphoma 1.26 (95% CI 1.04-1.54), aggressive lymphoma not otherwise specified 1.29 (95% CI 1.08-1.55), and small lymphocytic lymphoma 1.52 (95% CI 1.11-2.07). A corresponding analysis using data from the Danish Lymphoma Register was performed with comparable results. In conclusion, we demonstrate a significantly higher incidence and trend toward higher mortality in men for most lymphoma subtypes. Future studies with large patient material that include detailed clinicopathological prognostic factors are warranted to further delineate and explain sex differences in lymphoma survival to enable optimal management of lymphoma patients regardless of sex.

Standardised survival probabilities: a useful and informative tool for reporting regression models for survival data.

BACKGROUND: When interested in studying the effect of a treatment (or other exposure) on a time-to-event outcome, the most popular approach is to estimate survival probabilities using the Kaplan-Meier estimator. In the presence of confounding, regression models are fitted, and results are often summarised as hazard ratios. However, despite their broad use, hazard ratios are frequently misinterpreted as relative risks instead of relative rates. METHODS: We discuss measures for summarising the analysis from a regression model that overcome some of the limitations associated with hazard ratios. Such measures are the standardised survival probabilities for treated and untreated: survival probabilities if everyone in the population received treatment and if everyone did not. The difference between treatment arms can be calculated to provide a measure for the treatment effect. RESULTS: Using publicly available data on breast cancer, we demonstrated the usefulness of standardised survival probabilities for comparing the experience between treated and untreated after adjusting for confounding. We also showed that additional important research questions can be addressed by standardising among subgroups of the total population. DISCUSSION: Standardised survival probabilities are a useful way to report the treatment effect while adjusting for confounding and have an informative interpretation in terms of risk.

Application of precision medicine in clinical routine in haematology-Challenges and opportunities.

Precision medicine is revolutionising patient care in cancer. As more knowledge is gained about the impact of specific genetic lesions on diagnosis, prognosis and treatment response, diagnostic precision and the possibility for optimal individual treatment choice have improved. Identification of hallmark genetic aberrations such as the BCR::ABL1 gene fusion in chronic myeloid leukaemia (CML) led to the rapid development of efficient targeted therapy and molecular follow-up, vastly improving survival for patients with CML during recent decades. The assessment of translocations, copy number changes and point mutations are crucial for the diagnosis and risk stratification of acute myeloid leukaemia and myelodysplastic syndromes. Still, the often heterogeneous and complex genetic landscape of haematological malignancies presents several challenges for the implementation of precision medicine to guide diagnosis, prognosis and treatment choice. This review provides an introduction and overview of the important molecular characteristics and methods currently applied in clinical practice to guide clinical decision making in haematological malignancies of myeloid and lymphoid origin. Further, experimental ways to guide the choice of targeted therapy for refractory patients are reviewed, such as functional precision medicine using drug profiling. An example of the use of pipeline studies where the treatment is chosen according to the molecular characteristics in rare solid malignancies is also provided. Finally, the future opportunities and remaining challenges of precision medicine in the real world are discussed.

Statin use and survival in 16 098 patients with non-Hodgkin lymphoma or chronic lymphocytic leukaemia treated in the rituximab era.

Statin use has been associated with reduced mortality from several cancers but also suggested, in vitro, to diminish the effectiveness of lymphoma treatments including rituximab. The present study aimed to assess the association of statin use with mortality in patients with non-Hodgkin lymphoma (NHL) and chronic lymphocytic leukaemia (CLL). We identified all incident NHLs and CLLs in Sweden from 2007 to 2013 with subtype information in the Swedish Lymphoma and Cancer Registers. Using Cox regression, we estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for the association of pre- or post-diagnosis statin use (yes/no, intensity) with lymphoma-specific, cardiovascular, or all-cause mortality; and for follicular lymphoma (FL) by initial treatment strategy (active/watch-and-wait). Among 16 098 incident NHL/CLL patients, 20% used statins at diagnosis. Pre- and post-diagnosis statin use, and statin intensity were not consistently associated with any mortality outcome in patients with NHL, overall or for any subtype. For actively treated patients with FL, statin use did not appear to increase lymphoma-specific mortality (vs. non-users, HR [95% CI]after diagnosis 0·87 [0·45-1·67]). For CLL, statin use was associated with all-cause and cardiovascular but not consistently with lymphoma-specific mortality. In conclusion, statin use was not associated with improved lymphoma survival but appears safe to use during lymphoma treatment.

Survival of very elderly patients with diffuse large B-cell lymphoma according to treatment intensity in the immunochemotherapy era: a Swedish Lymphoma Register study.

Diffuse large B-cell lymphoma (DLBCL) incidence rises with increasing age. Rituximab-anthracycline-based regimens offer a potential cure but also risks of adverse events, especially in the elderly. Using Swedish registers, we conducted a nationwide, population-based study of DLBCL in the very elderly. We obtained information on clinical characteristics, residence, comorbidity, therapy and survival for the 1194 patients aged ≥80 years diagnosed in Sweden 2007-2014. To address selection bias, we also investigated treatment differences between Sweden's Healthcare Regions and whether there were survival differences between the Regions. The 2-year overall and relative survivals were better in patients aged ≥80 years given treatment with curative intent (54%; 64%) than low-intensity (26%; 33%), or palliative treatment (6%; 7%). The fraction of patients treated with curative intent varied between the Healthcare Regions (45-76%). Survival was significantly inferior in Regions with few patients treated with curative intent (multivariable hazard ratio 1.3, 95% confidence interval 1.1-1.6). When treatment intensity and Regions competed, Regions were no longer independent, suggesting that Regional survival differences are due to therapeutic differences. Furthermore, we found that the age-adjusted International Prognostic Index was independently associated with survival. We conclude that patients aged ≥80 years with DLBCL appear to benefit from rituximab-anthracycline-based treatment given with curative intent.

Clinical characteristics and outcomes among 2347 patients aged ≥85 years with major lymphoma subtypes: a Nordic Lymphoma Group study.

There is a lack of data regarding treatment and prognosis for the growing group of oldest old patients with lymphoma. Therefore, we studied 2347 patients aged ≥85 years from the Danish and Swedish lymphoma registers 2000-2016 (Denmark) and 2007-2013 (Sweden). Outcome was assessed using relative survival (RS). The 2-year RS overall for patients with aggressive lymphomas was 38% [95% confidence interval (CI) 35-42%], of whom 845 (66%) patients received active treatment (chemotherapy, radiotherapy, immunotherapy, other). For aggressive lymphomas, not receiving active treatment was associated with an inferior 2-year RS of 12% (95% CI 9-17%) compared to 49% (95% CI 45-53%) for patients who received active treatment (excess mortality rate ratio 2·84, 95% CI 2·3-3·5; P < 0·0001). For patients with indolent lymphoma, the 2-year RS was 77% (95% CI 72-82%). Here, 383 (46%) patients received active treatment at diagnosis, but did not have better 2-year RS (75%, 95% CI 67-81%) compared to those who did not receive active treatment (83%, 95% CI 74-89%). We conclude that outcomes for the oldest old patients with lymphoma are encouraging for several subtypes and that active treatment is associated with improved outcome amongst the oldest old patients with aggressive lymphomas, indicating that age itself should not be a contraindication to treatment.

Minimal relapse risk and early normalization of survival for patients with Burkitt lymphoma treated with intensive immunochemotherapy: an international study of 264 real-world patients.

Non-endemic Burkitt lymphoma (BL) is a rare germinal centre B-cell-derived malignancy with the genetic hallmark of MYC gene translocation and with rapid tumour growth as a distinct clinical feature. To investigate treatment outcomes, loss of lifetime and relapse risk in adult BL patients treated with intensive immunochemotherapy, retrospective clinic-based and population-based lymphoma registries from six countries were used to identify 264 real-world patients. The median age was 47 years and the majority had advanced-stage disease and elevated LDH. Treatment protocols were R-CODOX-M/IVAC (47%), R-hyper-CVAD (16%), DA-EPOCH-R (11%), R-BFM/GMALL (25%) and other (2%) leading to an overall response rate of 89%. The two-year overall survival and event-free survival were 84% and 80% respectively. For patients in complete remission/unconfirmed, the two-year relapse risk was 6% but diminished to 0·6% for patients reaching 12 months of post-remission event-free survival (pEFS12). The loss of lifetime for pEFS12 patients was 0·4 (95% CI: -0·7 to 2) months. In conclusion, real-world outcomes of adult BL are excellent following intensive immunochemotherapy. For pEFS12 patients, the relapse risk was low and life expectancy similar to that of a general population, which is important information for developing meaningful follow-up strategies with increased focus on survivorship and less focus on routine disease surveillance.

Statin use is associated with improved survival in multiple myeloma: A Swedish population-based study of 4315 patients.

Statin use has been associated with reduced cancer-specific mortality among patients with several cancer types, including multiple myeloma (MM). We aimed to further elucidate the association of statin use and dose intensity with MM survival. Using Swedish population-based national health registers, we identified all incident MM diagnoses occurring January 1, 2007 to December 31, 2013 and their drug dispensations and comorbidities. We assessed statin exposure in 6-month periods pre- and post-diagnosis, treated diagnosis as baseline for calculating survival time, and calculated hazard ratios (HR) and 95% confidence intervals (CI) of exposure-related MM-specific and all-cause mortality using Cox regression. We assessed statin exposure during the entire follow-up and risk of MM-specific mortality in a nested case-control analysis. We classified dose intensity according to American College of Cardiology/American Heart Association recommendations. We ascertained 4315 MM cases during follow-up. Statin use was associated with reduced MM-specific mortality (pre-diagnosis use multivariate-adjusted HR, 95% CI: 0.83, 0.71-0.96; 6 months post-diagnosis: 0.73, 0.60-0.89; entire follow-up: 0.65, 0.52-0.80) and (more weakly) with all-cause mortality. Intensity analyses suggested a dose-response; MM-specific mortality decreased with increasing statin intensity in all time windows (eg, 6 months post-diagnosis: low [0.76 (0.56-1.03)], medium [0.73 (0.58-0.92)], high [0.33 (0.08-1.32)] intensity). However, relatively few patients received high intensity treatment, and the trend was statistically significant only for unadjusted pre-diagnosis use. In this large population-based MM cohort, statin use was associated with improved MM-specific survival in both sexes. Randomized prospective studies are warranted to evaluate statins as adjuvant treatment in MM.

Outcome and determinants of failure to complete primary R-CHOP treatment for reasons other than non-response among patients with diffuse large B-cell lymphoma.

Patients with diffuse large B-cell lymphoma (DLBCL) who fail to complete planned treatment with R-CHOP due to toxicity are sparsely described. We investigated the extent of failure to complete treatment (six cycles or more, or three cycles + RT for patients with stage I disease) with R-CHOP for reasons unrelated to non-response, the determinants of such failure and the outcome among these patients. Three thousand one hundred and forty nine adult DLBCL patients who started primary treatment with R-CHOP were identified through the Swedish lymphoma register 2007-2014. Of these, 147 (5%) stopped prematurely after 1-3 cycles of R-CHOP for reasons unrelated to non-response, 168 (5%) after 4-5 cycles and 2639 patients (84%) completed planned treatment. Additionally, 195 (6%) patients did not complete treatment due to non-response or death before treatment end. In a multivariable logistic regression model, age > 75 years, poor performance status, extranodal disease and Charlson Comorbidity Index ≥1 were significantly associated with failure to complete planned R-CHOP treatment for other reasons than non-response. Non-completion of treatment strongly correlated with survival. Five-year overall survival for patients who received 1-3 cycles was 26% (95% CI: 19%-33%), 49% (95% CI: 41%-57%) for 4-5 cycles and 76% (74%-77%) for patients who completed treatment. Failure to complete planned R-CHOP treatment is an important clinical issue associated with inferior survival. Old age and poor performance status most strongly predict such failure. These results indicate a need for improved treatment tailoring for patients with certain baseline demographics to improve tolerability and chance for treatment completion.

Impact on survival of addition of etoposide to primary chemotherapy in diffuse large B-cell lymphoma: a Swedish Lymphoma Registry study.

No randomised study in the rituximab era has been performed specifically to evaluate addition of etoposide to treatment of diffuse large B-cell lymphoma (DLBCL). The aim of this study was to compare the outcome with three chemotherapy regimens (R-CHOP-21, R-CHOP-14 and R-CHOEP-14) in a population-based cohort in terms of overall survival, adjusted for clinical prognostic factors. Through the Swedish Lymphoma Registry, 3443 patients with DLBCL were identified 2007-2012. Among all patients, there was no evidence of a difference between the regimens, after adjustment for prognostic factors. However, when restricted to patients aged up to 65, R-CHOEP-14 was associated with superior outcome compared to both R-CHOP-21 (hazard ratio: 0.49, 95% confidence interval: 0.3-0.9, p = 0.028) and R-CHOP-14 (hazard ratio: 0.64, 95% confidence interval: 0.4-1.0, p = 0.06), when adjusted for prognostic factors. Results were consistent in an additional stratified analysis with patients grouped according to age and IPI-score. In conclusion, we could show that R-CHOEP-14 was associated with superior overall survival in patients with DLBCL aged up to 65 years, indicating that this may be a valid treatment option for this patient population. To further investigate which patient groups that may benefit the most from treatment intensification, R-CHOEP-14 should be compared to R-CHOP-21 in a randomised setting. Copyright © 2015 John Wiley & Sons, Ltd.

Stable use of radiotherapy in lymphoma patients over time - A comprehensive national overview of radiotherapy use in Sweden with focus on older patients.

Background and purpose: The role of radiotherapy (RT) in lymphoma is constantly refined with the advent of novel treatments. However, RT is still an effective treatment and tolerability is high. Therefore, we aimed to describe the use of RT in primary treatment of lymphoma over calendar time, with a specific focus on older patients (age ≥ 70 years) with non-Hodgkin lymphoma (NHL) subtypes. Materials & Methods: All adult patients diagnosed with lymphoma from 2007 to 2018 in Sweden were included and followed for survival until end of 2020. Patient characteristics and relative survival (RS) were described for patients with NHL by subtype and RT use. Results: In the cohort of lymphoma patients aged ≥ 70 years (n = 12,698) 11 % received RT as part of primary treatment. No decline in use of RT over calendar period was seen. Use of RT as monotherapy was associated with stage I-II disease and older age among patients with stage III-IV disease. Patients with indolent lymphomas aged ≥ 70 years who were selected for treatment with RT as monotherapy with a dose of ≥ 20 Gy had 2-year RS rate of 100 % which remained similar at five years. For patients with DLBCL, RT as monotherapy with a dose of ≥ 20 Gy was mostly administered to patients aged ≥ 85 years with a 2-year RS rate of 68 %. Conclusion: The use of RT in first-line lymphoma treatment was stable over calendar time. RT monotherapy is associated with encouraging outcomes among patients with NHL aged ≥ 70 years who were selected to receive this.

Treatment sequencing and impact of number of treatment lines on survival in follicular lymphoma: A national population-based study.

Follicular lymphoma (FL) is a clinically heterogeneous disease. The need for treatment, treatment sequencing, number of treatment lines, and its association with survival have not been described in a population-based setting. We identified all patients diagnosed with FL in the Swedish Lymphoma register from 2007 to 2014, followed until 2020, with detailed data on progression/relapse, transformation, and 2nd and further lines of therapy. During a median follow-up of 6.8 years, 1226 patients (69%) received 1st systemic treatment, 358 patients (20%) were managed with watch-and-wait (WaW) only, and 188 (10%) patients were treated with radiotherapy and did not require additional therapy during the study period. Among patients starting systemic treatment, 496 (40%), 224 (18%), and 88 (7%) received 2nd-, 3rd-, or 4th-line therapy, respectively. The 10-year cause-specific cumulative incidence of transformation was 13%. Among patients managed with 1st line R-single, R-CHOP, or BR, 54%, 33%, and 29% required 2nd line, respectively. The cumulative probability of starting subsequent treatment within 2 years was 26% after 1st line and 35% after 2nd line treatment. Two-year OS following 1st, 2nd, 3rd, and 4th line systemic treatment was 84%, 70%, 52%, and 36%, respectively, and remained similar when excluding transformations. We conclude that a substantial proportion of FL patients can be managed with WaW for a long period of time, while patients who require multiple treatment lines constitute a group with a large clinical unmet need. These results constitute valuable real-world reference data for FL.

Smart variant filtering - A blueprint solution for massively parallel sequencing-based variant analysis.

Massively parallel sequencing helps create new knowledge on genes, variants and their association with disease phenotype. This important technological advancement simultaneously makes clinical decision making, using genomic information for cancer patients, more complex. Currently, identifying actionable pathogenic variants with diagnostic, prognostic, or predictive impact requires substantial manual effort. Objective: The purpose is to design a solution for clinical diagnostics of lymphoma, specifically for systematic variant filtering and interpretation. Methods: A scoping review and demonstrations from specialists serve as a basis for a blueprint of a solution for massively parallel sequencing-based genetic diagnostics. Results: The solution uses machine learning methods to facilitate decision making in the diagnostic process. A validation round of interviews with specialists consolidated the blueprint and anchored it across all relevant expert disciplines. The scoping review identified four components of variant filtering solutions: algorithms and Artificial Intelligence (AI) applications, software, bioinformatics pipelines and variant filtering strategies. The blueprint describes the input, the AI model and the interface for dynamic browsing. Conclusion: An AI-augmented system is designed for predicting pathogenic variants. While such a system can be used to classify identified variants, diagnosticians should still evaluate the classification's accuracy, make corrections when necessary, and ultimately decide which variants are truly pathogenic.

Survival by First-line Treatment Type and Timing of Progression Among Follicular Lymphoma Patients: A National Population-based Study in Sweden.

In follicular lymphoma (FL), progression of disease ≤24 months (POD24) has emerged as an important prognostic marker for overall survival (OS). We aimed to investigate survival more broadly by timing of progression and treatment in a national population-based setting. We identified 948 stage II-IV indolent FL patients in the Swedish Lymphoma Register diagnosed 2007-2014 who received first-line systemic therapy, followed through 2020. Hazard ratios (HRs) with 95% confidence intervals (CIs) were estimated by first POD at any time during follow-up using Cox regression. OS was predicted by POD using an illness-death model. During a median follow-up of 6.1 years (IQR: 3.5-8.4), 414 patients experienced POD (44%), of which 270 (65%) occurred ≤24 months. POD was represented by a transformation in 15% of cases. Compared to progression-free patients, POD increased all-cause mortality across treatments, but less so among patients treated with rituximab(R)-single (HR = 4.54, 95% CI: 2.76-7.47) than R-chemotherapy (HR = 8.17, 95% CI: 6.09-10.94). The effect of POD was similar following R-CHOP (HR = 8.97, 95% CI: 6.14-13.10) and BR (HR = 10.29, 95% CI: 5.60-18.91). The negative impact of POD on survival remained for progressions up to 5 years after R-chemotherapy, but was restricted to 2 years after R-single. After R-chemotherapy, the 5-year OS conditional on POD occurring at 12, 24, and 60 months was 34%, 46%, and 57% respectively, versus 78%, 82%, and 83% if progression-free. To conclude, POD before but also beyond 24 months is associated with worse survival, illustrating the need for individualized management for optimal care of FL patients.

Whole-genome informed circulating tumor DNA analysis by multiplex digital PCR for disease monitoring in B-cell lymphomas: a proof-of-concept study.

Introduction: Analyzing liquid biopsies for tumor-specific aberrations can facilitate detection of measurable residual disease (MRD) during treatment and at follow-up. In this study, we assessed the clinical potential of using whole-genome sequencing (WGS) of lymphomas at diagnosis to identify patient-specific structural (SVs) and single nucleotide variants (SNVs) to enable longitudinal, multi-targeted droplet digital PCR analysis (ddPCR) of cell-free DNA (cfDNA). Methods: In 9 patients with B-cell lymphoma (diffuse large B-cell lymphoma and follicular lymphoma), comprehensive genomic profiling at diagnosis was performed by 30X WGS of paired tumor and normal specimens. Patient-specific multiplex ddPCR (m-ddPCR) assays were designed for simultaneous detection of multiple SNVs, indels and/or SVs, with a detection sensitivity of 0.0025% for SV assays and 0.02% for SNVs/indel assays. M-ddPCR was applied to analyze cfDNA isolated from serially collected plasma at clinically critical timepoints during primary and/or relapse treatment and at follow-up. Results: A total of 164 SNVs/indels were identified by WGS including 30 variants known to be functionally relevant in lymphoma pathogenesis. The most frequently mutated genes included KMT2D, PIM1, SOCS1 and BCL2. WGS analysis further identified recurrent SVs including t(14;18)(q32;q21) (IGH::BCL2), and t(6;14)(p25;q32) (IGH::IRF4). Plasma analysis at diagnosis showed positive circulating tumor DNA (ctDNA) levels in 88% of patients and the ctDNA burden correlated with baseline clinical parameters (LDH and sedimentation rate, p-value <0.01). While clearance of ctDNA levels after primary treatment cycle 1 was observed in 3/6 patients, all patients analyzed at final evaluation of primary treatment showed negative ctDNA, hence correlating with PET-CT imaging. One patient with positive ctDNA at interim also displayed detectable ctDNA (average variant allele frequency (VAF) 6.9%) in the follow-up plasma sample collected 2 years after final evaluation of primary treatment and 25 weeks before clinical manifestation of relapse. Conclusion: In summary, we demonstrate that multi-targeted cfDNA analysis, using a combination of SNVs/indels and SVs candidates identified by WGS analysis, provides a sensitive tool for MRD monitoring and can detect lymphoma relapse earlier than clinical manifestation.

Incidence and time trends of second primary malignancies after non-Hodgkin lymphoma: a Swedish population-based study.

Considering treatment changes and an improved prognosis of non-Hodgkin lymphoma (NHL) over time, knowledge regarding long-term health outcomes, including late effects of treatment, has become increasingly important. We report on time trends of second primary malignancies (SPMs) in Swedish NHL patients, encompassing the years before as well as after the introduction of anti-CD20 antibody therapy. We identified NHL patients in the Swedish Cancer Register 1993 to 2014 and matched comparators from the Swedish Total Population Register. The matched cohort was followed through 2017. By linking to the Swedish Lymphoma Register, subcohort analyses by NHL subtype were performed. Flexible parametric survival models were used to estimate hazard ratios (HRs) with 95% confidence intervals (CIs) of SPM among patients and comparators. Among 32 100 NHL patients, 3619 solid tumors and 217 myelodysplastic syndrome (MDS)/acute myeloid leukemia (AML) cases were observed, corresponding to a 40% higher rate of solid tumors (HRsolid tumors = 1.4; 95% CI, 1.4-1.5) and a 5-fold higher rate of MDS/AML (HRMDS/AML = 5.2; 95% CI, 4.4-6.2) than for comparators. Overall, the observed excess risks for solid tumors or MDS/AML remained stable over the study period, except for follicular lymphoma, where the excess rate of MDS/AML attenuated with time (P for trend = .012). We conclude that NHL survivors have an increased risk of both solid tumors and hematologic malignancies, in particular MDS/AML. Stable excess risks over time indicate that contemporary treatment standards are not associated with modified SPM risk. Encouragingly, decreasing rates of MDS/AML were noted among patients with follicular lymphoma, possibly due to the increasing use of nonchemotherapy-based treatments.

Data-driven support to decision-making in molecular tumour boards for lymphoma: A design science approach.

Background: The increasing amount of molecular data and knowledge about genomic alterations from next-generation sequencing processes together allow for a greater understanding of individual patients, thereby advancing precision medicine. Molecular tumour boards feature multidisciplinary teams of clinical experts who meet to discuss complex individual cancer cases. Preparing the meetings is a manual and time-consuming process. Purpose: To design a clinical decision support system to improve the multimodal data interpretation in molecular tumour board meetings for lymphoma patients at Karolinska University Hospital, Stockholm, Sweden. We investigated user needs and system requirements, explored the employment of artificial intelligence, and evaluated the proposed design with primary stakeholders. Methods: Design science methodology was used to form and evaluate the proposed artefact. Requirements elicitation was done through a scoping review followed by five semi-structured interviews. We used UML Use Case diagrams to model user interaction and UML Activity diagrams to inform the proposed flow of control in the system. Additionally, we modelled the current and future workflow for MTB meetings and its proposed machine learning pipeline. Interactive sessions with end-users validated the initial requirements based on a fictive patient scenario which helped further refine the system. Results: The analysis showed that an interactive secure Web-based information system supporting the preparation of the meeting, multidisciplinary discussions, and clinical decision-making could address the identified requirements. Integrating artificial intelligence via continual learning and multimodal data fusion were identified as crucial elements that could provide accurate diagnosis and treatment recommendations. Impact: Our work is of methodological importance in that using artificial intelligence for molecular tumour boards is novel. We provide a consolidated proof-of-concept system that could support the end-to-end clinical decision-making process and positively and immediately impact patients. Conclusion: Augmenting a digital decision support system for molecular tumour boards with retrospective patient material is promising. This generates realistic and constructive material for human learning, and also digital data for continual learning by data-driven artificial intelligence approaches. The latter makes the future system adaptable to human bias, improving adequacy and decision quality over time and over tasks, while building and maintaining a digital log.